What we do

AI and IT services built to ship

Six practices that work as one delivery team: strategy, engineering, and operations under a single roof, so nothing gets lost in a handoff between vendors.

AI & Machine Learning Solutions

From generative AI copilots to forecasting models, built to run against your real data with guardrails, not just a notebook demo.

  • Generative AI & LLM integration (copilots, retrieval-augmented search, agents)
  • Predictive analytics & forecasting models
  • Computer vision & document intelligence
  • MLOps: monitoring, retraining, and guardrails

Cloud & DevOps Engineering

Migration, orchestration, and delivery pipelines engineered for uptime, security, and a cloud bill you can explain.

  • Cloud migration & architecture (AWS, Azure, GCP)
  • Kubernetes & containerization
  • CI/CD pipeline design
  • Site reliability engineering & cost optimization

Data Engineering & Analytics

Pipelines and warehouses that turn scattered spreadsheets and logs into one dependable source of truth.

  • Data pipeline & warehouse design
  • Real-time streaming architecture
  • BI dashboards & reporting
  • Data governance & quality frameworks

Custom Software Development

Web, mobile, and internal tools built from scratch or modernized out of legacy systems that have outgrown themselves.

  • Web & mobile application development
  • API design & platform integration
  • Legacy system modernization
  • Internal tooling & workflow automation

Cybersecurity & Compliance

Security built in at the architecture stage, plus the paperwork your auditors and customers actually ask for.

  • Security audits & penetration testing
  • Identity & access management
  • Compliance readiness (SOC 2, ISO 27001, HIPAA)
  • Incident response planning

Managed IT & Support

The team that keeps answering the phone after launch day — monitoring, patching, and a real helpdesk.

  • 24/7 infrastructure monitoring
  • Helpdesk & end-user support
  • Patch management & endpoint security
  • IT strategy & vendor management
Engagement model

How an engagement actually runs

01

Discover

A scoped, two-week audit of your systems, data, and constraints — ending in a concrete plan, not a slide deck of generic advice.

02

Design

Architecture and technical design reviewed with your team before a single line of production code is written.

03

Build

Fixed two-week sprints with demoable progress, code in your own repositories, and no surprise scope creep.

04

Launch

Staged rollout with monitoring and rollback plans in place before real users or real traffic touch the system.

05

Operate

Optional managed support: on-call engineering, monitoring, and continuous improvement after go-live.

Not sure which practice you need?

Most projects touch two or three of these at once. Tell us what's not working and we'll tell you where to start.